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The purpose of this study is to examine the key challenges currently prevalent in the Machinery and Equipment (M&E) sector of Malaysia and to offer an integrative Industry 4.0 strategic roadmap. The Environmental Scan 2016 and 2018 provides a basis for the identification of the challenges in the M&E sector of Malaysia. The study further investigates the challenges by analyzing the responses of four major stakeholders in a Focus Group Discussion. The findings reveal that the M&E sector suffers from very low automation adoption. This study is among the first few to analyze the challenges in the M&E sector and lay out a strategic roadmap encompassing the role of each stakeholder at every phase of the transition toward Industry 4.0. The proposed method of transitioning through targeted incentive schemes will help academics and practitioners in developing concrete and workable action plans to conduct the transition process.

The 2019 coronavirus disease (COVID-19) pandemic has profoundly affected family and school life. Evidence demonstrates how pandemic-induced online learning and home confinement can influence family dynamics and, consequently, students’ mental health and quality of life. This chapter extends the literature by building upon the perspective of family systems theory and focusing the analysis on graduate students who are underrepresented in COVID-19 research. Drawing from an online survey among 337 graduate students enrolled in a state university in the Philippines during the second year of the pandemic, this study examines the three family relationship domains (cohesion, expressiveness, and conflict), their predictive relationships with life satisfaction, and the mediating role of mental well-being on these relationships. Findings indicate favorable levels of cohesion, expressiveness, and conflict in the family. Respondents’ age, sex assigned at birth, and marital status were significantly correlated with at least one domain of family relationship. Cohesion and expressiveness yielded significant positive predictive relationships on mental well-being and life satisfaction. Furthermore, findings indicate the partial mediation of mental well-being on the relationship between cohesion and life satisfaction and full mediation on expressiveness and life satisfaction.

As the new emerging workforce, Generation Y (Gen Y) is said to be demanding, influential and possessing strong bargaining power. This study examines the impact of corporate social responsibility (CSR) on employee retention among Gen Y in the accounting profession. CSR is widely researched subject due to its applicability in multidisciplinary fields and industries. This research intends to investigate the nexus between CSR and human capital disciplines. It employs Carroll's pyramid of CSR as the main theoretical framework to establish its relationship with talent retention among Gen Y employees. This study has a threefold aim: (1) to determine the level of CSR awareness, (2) to determine the relationship between CSR dimensions and talent retention and (3) to examine the effect of CSR dimensions on talent retention.

The paper opted for an exploratory study using the structured questionnaire. A total of 377 Gen Y accountants who are currently working in accounting firms located in Klang Valley, Malaysia, were involved as respondents. Data were analyzed using descriptive, correlation and regression analyses to answer the research objectives.

The paper provided empirical insights about the impact brought by CSR practices in financial-based firms on employee retention. It was found that all CSR elements, as suggested by Carroll, have a significant relationship with employees’ retention. The interaction between the CSR elements and employee retention accounts for 16% of the research model. Based on the multiple regression analysis, it was found that only two CSR elements are the significant predictors of employee retention among Gen Y in the case of financial-based firms in Malaysia.

This research covers Gen Y employees in accounting firms; thus, generalization is not applicable to other generations. Besides, the predictors of the research study utilize Carroll’s pyramid of CSR. Therefore, future research studies are encouraged to validate the research model into other sectors. Other models of CSR could also be used.

This paper includes implication for the organization to understand employee retention practices on Gen Y who are currently dominating the workforce.

This paper fulfills an identified need to study how CSR practices could enhance employee retention among Gen Y in the organization.

This study aimed to assess the potential of the Clinical Dementia Rating (CDR) Scale in the prognosis of dementia in elderly subjects.

Dementia staging severity is clinically an essential task, so the authors used machine learning (ML) on the magnetic resonance imaging (MRI) features to locate and study the impact of various MR readings onto the classification of demented and nondemented patients. The authors used cross-sectional MRI data in this study. The designed ML approach established the role of CDR in the prognosis of inflicted and normal patients. Moreover, the pattern analysis indicated CDR as a strong cohort amongst the various attributes, with CDR to have a significant value of p < 0.01. The authors employed 20 ML classifiers.

The mean prediction accuracy varied with the various ML classifier used, with the bagging classifier (random forest as a base estimator) achieving the highest (93.67%). A series of ML analyses demonstrated that the model including the CDR score had better prediction accuracy and other related performance metrics.

The results suggest that the CDR score, a simple clinical measure, can be used in real community settings. It can be used to predict dementia progression with ML modeling.

Many popular simultaneous localization and mapping (SLAM) techniques have low accuracy, especially when localizing environments containing dynamically moving objects since their presence can potentially cause inaccurate data associations. To address this issue, the proposed FADM-SLAM system aims to improve the accuracy of SLAM techniques in environments containing dynamically moving objects. It uses a pipeline of feature-based approaches accompanied by sparse optical flow and multi-view geometry as constraints to achieve this goal.

FADM-SLAM, which works with monocular, stereo and RGB-D sensors, combines an instance segmentation network incorporating an intelligent motion detection strategy (iM) with an optical flow technique to improve location accuracy. The proposed AS-SLAM system comprises four principal modules, which are the optical flow mask and iM, the ego motion estimation, dynamic point detection and the feature-based extraction framework.

Experiment results using the publicly available RGBD-Bonn data set indicate that FADM-SLAM outperforms established visual SLAM systems in highly dynamic conditions.

In summary, the first module generates the indication of dynamic objects by using the optical flow and iM with geometric-wise segmentation, which is then used by the second module to compute the starting point of a posture. The third module, meanwhile, first searches for the dynamic feature points in the environment, and second, eliminates them from further processing. An algorithm based on epipolar constraints is implemented to do this. In this way, only the static feature points are retained, which are then fed to the fourth module for extracting important features.

Major area of a die is consumed in memory components. Almost 60-70% of chip area is being consumed by “Memory Circuits”. The dominant memory in this market is SRAM, even though the SRAM size is larger than embedded DRAM, as SRAM does not have yield issues and the cost is not high as compared to DRAM. At the same time, the other attractive feature for the SRAM is speed, and it can be used for low power applications. CMOS SRAM is the crucial component in microprocessor chips and applications, and as the said major portion of the area is dedicated to SRAM arrays, CMOS SRAM is considered to be the stack holders in the memory market. Because of the scaling feature of CMOS, SRAM had its hold in the market over the past few decades. In recent years, the limitations of the CMOS scaling have raised so many issues like short channel effects, threshold voltage variations. The increased thrust for alternative devices leads to FinFET. FinFET is emerging as one of the suitable alternatives for CMOS and in the region of memory circuits.

In this paper, a new 11 T SRAM cell using FinFET technology has been proposed, the basic component of the cell is the 6 T SRAM cell with 4 NMOS access transistors to improve the stability and also makes it a dual port memory cell. The proposed cell uses a header scheme in which one extra PMOS transistor is used which is biased at different voltages to improve the read and write stability thus, helps in reducing the leakage power and active power.

The cell shows improvement in RSNM (read static noise margin) with LP8T by 2.39× at sub-threshold voltage 2.68× with D6T SRAM cell, 5.5× with TG8T. The WSNM (write static noise margin) and HM (hold margin) of the SRAM cell at 0.9 V is 306 mV and 384  mV. It shows improvement at sub-threshold operation also. The leakage power is reduced by 0.125× with LP8T, 0.022× with D6T SRAM cell, TG8T and SE8T. The impact of process variation on cell stability is also discussed.

The FinFet has been used in place of CMOS even though the FinFet has been not been a matured technology; therefore, pdk files have been used.

SRAM cell has been designed which has good stability and reduced leakage by which we can make an array and which can be used as SRAM array.

The cell can be used for SRAM memory for low power consumptions.

The work has been done by implementing various leakage techniques to design a stable and improved SRAM cell. The advantage of this work is that the cell has been working for low voltage without degrading the stability factor.

Economic theory rests on the principal axiom of egoism; that every action is driven by self interest, and is therefore seen as a moral‐free science. Morality, on the other hand, concerns subjective value judgement, usually in the interpersonal context of whether an action is right or wrong. Although the two are seemingly unrelated, welfare economic theory and its applications cannot proceed very far without the assistance of moral codes. This article discusses the origin and rationale behind the construction of moral codes, the moral codification of preferences and its associated problems.

The purpose of this paper is to showcase that the integration of academic assessment with workplace performance appraisal practices can help to address the gap between graduate employability skills and employers’ requirements. Employability refers to learning of transferable skills.

The integrated assessment criteria grid by which the quality of the assignments may be judged was developed and discussed with the students. Grades achieved by each assessment criterion are analysed and inferred as to whether students have learned the desired transferable skills.

Such integration strengthens the theoretical argument on the importance of formative assessment as a way to nurture students’ learning. The transferable skills that students appeared to have learnt include “use of relevant data, meticulous, attention to details, structure & systems thinking, critical thinking and writing skill”.

Only one cohort of students is involved and their participation in the discussion is on a voluntary basis. The paper was not able to address students who did not appear to have learnt the transferable skills.

Employers are more cognisant of the quality of the management students graduating from this university. The learning of transferable skills reflects creativity development, and this contributes to the theory of knowledge which emphasises the importance of developing creativity through education.

This paper introduces a new form of formative assessment as a way to nurture students’ learning of transferable skills within a coursework assignment setting.

This paper shows that the consistent way of modeling sentiment‐driven moral behaviors in a setting of social interaction is to derive the equilibrium moral code that is mutually consistent with the optimal moral behavior of each player. To do this, it is necessary that moral sentiments be introduced explicitly into the utility function so that an individual could choose the optimal moral behavior that balances his/her narrow self‐interest against the avoidance of moral dissonance. It then demonstrates how the various equilibrium moral codes are derived from the key moral sentiments of love, guilt and envy.

Strategic management and marketing.

Executive education; postgraduate; undergraduate.

By 2004, the low-cost carrier model had just recently been introduced to Southeast Asia. Airlines under this model quickly began taking market share. Singapore's first budget carrier, Valuair, finds itself in fierce competition between two rapidly emerging competitors in the second half of 2004. Valuair needs to expand in order to remain competitive. However, for this to happen the company needs additional access to capital. The CEO, Sim Kay Wee, has begun pitching to investors that his company is a smart low-risk investment. Is Sim right, given Valuair's competitive position and the market environment in which it operates?

Students will be able to apply strategic frameworks in order to develop an understanding of Valuair's market position and use this understanding to advice investment decisions.

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